Volume List  / Volume 10 (4)

Article

IMPACT OF INSTITUTIONAL DISTRIBUTION ON TRAFFIC CONGESTION: A STATISTICAL STUDY OF TRAFFIC CONGESTION IN SHILLONG CITY

DOI: 10.7708/ijtte.2020.10(4).03


10 / 4 / 437-448 Pages

Author(s)

Gitumoni Rajbongshi - Shillong Commerce College, Meghalaya, India -


Abstract

This paper tried to analyse a fresh approach to traffic congestion analysis. In this research an attempt has been made to highlight one of the important impacts which could significantly affect traffic congestion problem in the study area i.e., Shillong. Traffic congestion scenario of the city has been interpreted through analysis of spatio-temporal analysis of vehicles. Thereafter, to analyze the locational impact of traffic congestion in the city, the number of major institutions (official, educational, banks, church, etc.) located near the study points (Mawlai, Garikhana, Dhankheti, Police Bazaar and Nongthymmai) within one sq km around them has been collected. Thereafter, Chi-square test has been used to determine whether there is significant difference in the distribution of institutions within the city. Results showed that locational misdistribution of government offices and institutions across these chosen points causes variation in occurrence of traffic flow and hence leading to congestion.


Download Article

Number of downloads: 695


References:

Chama, N. C. C. 2013. Investigating the contributory factors to traffic congestion in Nairobi City, Kenya International Journal of Science and Research 4(5): 3253- 3256.

 

Gupta, S. P. 2000. Statistical Methods. Sultan Chand and Sons. New Delhi. 954 p.

 

He, S. 2012. Analysis Method of traffic congestion degree based on spatio-temporal simulation, International Journal of Advanced Computer Science and Applications 3(4): 12-17.

 

Jain, V.; Sharma, A.; Subramanian, L. 2012. Road traffic congestion in the developing world. In Proceedings of the 2nd ACM Symposium on Computing for Development, 1-10.

 

Khan, T.; Islam, M. R. 2013. Estimating costs of traffic congestion in Dhaka city, International Journal of Engineering Science and Innovative Technology 2(3): 281-289.

 

Mahmud, K.; Gope, K.; Chowdhury, S. M. R. 2012. Possible causes and solutions of traffic jam and their impact on the economy of Dhaka City, Journal of Management and Sustainability 2(2): 112-135.

 

Olawale, O.; Oyedele, L.; Owolabi, H.; Kusimo, H.; Gbadamosi, A.; Akinosho, T.; Kadiri, K. 2019. Complexities of smart city project success: A study of real-life case studies. In Proceedings of the CIB World Building Congress 2019, 17 - 21 June, Hong Kong SAR, China. 10 p.

 

Raheem, S. B.; Olawoore, W. A.; Olagunju, D. P.; Adeokun, E. M. 2015. The cause, effect and possible solution to traffic congestion on Nigeria road (A Case Study of Basorun - Akobo Road, Oyo State), International Journal of Engineering Science Invention 4(9): 10-14.

 

Uddin, A. 2009. Traffic congestion in Indian Cities: Challenges of a Rising Power. Kyoto of the Cities, Smart Cities in the Post-Crisis Era, 26-28 March, Naples, Italy. 7 p.

 

Ukpata, J. O.; Etika, A. A. 2012. Traffic congestion in major cities of Nigeria, International Journal of Engineering and Technology 2(8): 1433-1438.

 

Mappery. 2019. Available from Internet: http://www.mappery.com/Shillong-City-Map. Accessed: 20th April 2019.

 

Ye, S. 2012. Research on urban road traffic congestion charging based on sustainable development, Physics Procedia 24: 1567- 1572.